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Senior Data Modeler Jobs in Raleigh, NC (NOW HIRING)

Deloitte

Sr. Data Scientist

Raleigh, NC · Hybrid

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Work you'll do/Responsibilities Perform analytics using data science ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$125K - $209K/yr

We prioritize using the best models from today's top creators for each legal use case. About the Role: We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$115K - $192K/yr

We prioritize using the best models from today's top creators for each legal use case. About the Role: We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining ... You will lead AI and machine learning model development. You'll analyze extensive datasets and ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining ... You will lead AI and machine learning model development. You'll analyze extensive datasets and ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining ... You will lead AI and machine learning model development. You'll analyze extensive datasets and ...

Fidelity Investments

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

This role involves developing scalable data processing solutions, designing robust data models and ETL pipelines, and applying modern DevOps and Agile practices. Ideal candidate is deeply ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Build and maintain executive-level dashboardsand semantic models in Power BI, ensuring seamless data flow from backend ETL processes to end-user visualizations * Partner with product and business ...

Deloitte

Sr. Data Scientist

Raleigh, NC · On-site

As an experienced Data Scientist you will have the ability to share new ideas and collaborate on ... Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ...

VHB

Senior Transportation Data Analyst

Raleigh, NC · On-site

$98K - $148K/yr

Overview ABOUT THE POSITION Senior Transportation Data Analyst Locations: Watertown, MA | Raleigh ... Develop and apply customized algorithms or models to key business metrics with the goal of ...

Accenture

Google Data Specialist

Raleigh, NC · On-site

$70K - $196K/yr

You will support architecture design, build data pipelines and models, perform analysis, and contribute to technical implementations under guidance from senior team members. 1. Hands-On Technical ...

NC SECU

Senior Learning Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

Data-driven insights are pivotal in achieving these objectives, and the Senior Data Analyst will ... and models to align with evolving priorities, leveraging industry best practices and emerging ...

Nvidia

Senior Architect, Data Center Modeling

Durham, NC

$65 - $87/hr

We are seeking visionary computer architects to design and develop models for the next generation ... Expertise in data analysis and visualization, especially pandas and associated technologies * A ...

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All JobsData Modeler JobsSenior Data Modeler JobsSenior Data Modeler Jobs in Raleigh, NC

Senior Data Modeler information

See Raleigh, NC salary details

$34

$65

$82

How much do senior data modeler jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for senior data modeler in Raleigh, NC is $65.72, according to ZipRecruiter salary data. Most workers in this role earn between $58.17 and $74.52 per hour, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

Senior Data Modelers with extensive experience, advanced skills in data architecture, and proficiency in tools like SQL and Python can reach annual salaries of $300,000 or more, especially in high-demand industries such as finance or technology. Such roles often require advanced degrees, certifications, and a strong track record of managing complex data systems.

What does a Senior Data Modeler do?

A Senior Data Modeler is responsible for designing, implementing, and managing data models that define how data is stored, organized, and accessed within an organization. They work closely with stakeholders to understand business requirements and translate them into efficient data structures, often using tools like ER diagrams and database modeling software. Senior Data Modelers ensure data integrity, optimize data flows, and support data governance initiatives. They may also mentor junior data modelers and collaborate with database administrators, data architects, and developers to deliver effective data solutions.

How much does a data modeler make?

A senior data modeler typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. They often require strong skills in data architecture, modeling tools, and database management systems. Compensation may also include benefits and opportunities for professional development.

What is the difference between Senior Data Modeler vs Data Architect?

AspectSenior Data ModelerData Architect
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's or Master's in Computer Science, Information Systems; certifications like TOGAF, CDMP
Work EnvironmentData teams, database development, data analysis projectsIT departments, enterprise data strategy, system design
Employer & Industry UsageFinance, healthcare, tech companies focusing on data modelingLarge enterprises, consulting firms, organizations with complex data infrastructure
Common Search & ComparisonOften compared for technical data modeling skillsBroader scope including data infrastructure and architecture planning

While both roles require strong data management skills and similar certifications, Senior Data Modelers focus primarily on designing and optimizing data models, whereas Data Architects develop comprehensive data strategies and oversee overall data infrastructure. The roles often collaborate but differ in scope and responsibilities.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data modeler or entering data science, as skills and experience are more important. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL and Python, often through online courses or certifications. Continuous learning and practical experience are key factors for career advancement regardless of age.

How does a Senior Data Modeler typically collaborate with other departments during large-scale projects?

A Senior Data Modeler often works closely with business analysts, data architects, and software engineers to ensure that data models align with both technical requirements and business objectives. Collaboration typically involves gathering requirements, translating business needs into data structures, and participating in design reviews. Senior Data Modelers also play a key role in facilitating communication between IT and non-technical stakeholders to ensure data integrity and usability across systems. Effective teamwork and clear documentation are essential to navigate the complexities of large-scale data initiatives.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but senior data modelers are essential for designing complex data structures, ensuring data quality, and making strategic decisions. Human expertise remains critical for interpreting business needs and validating models, making complete replacement unlikely in the near term.

What are the key skills and qualifications needed to thrive as a Senior Data Modeler, and why are they important?

To thrive as a Senior Data Modeler, you need deep expertise in database design, data modeling techniques, and strong proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, and knowledge of database systems like Oracle or SQL Server, are typically required. Excellent analytical thinking, attention to detail, and strong collaboration and communication skills help you work effectively with cross-functional teams. These competencies ensure accurate, scalable, and efficient data structures that support business intelligence and decision-making across the organization.
What are the most commonly searched types of Data Modeler jobs in Raleigh, NC? The most popular types of Data Modeler jobs in Raleigh, NC are:
What are popular job titles related to Senior Data Modeler jobs in Raleigh, NC? For Senior Data Modeler jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Data Modeler jobs in Raleigh, NC look for? The top searched job categories for Senior Data Modeler jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Data Modeler jobs? Cities near Raleigh, NC with the most Senior Data Modeler job openings:
Senior Data Modeler jobs near you
Infographic showing various Senior Data Modeler job openings in Raleigh, NC as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $136,695 per year, or $65.7 per hour.
Sr. Data Scientist

Sr. Data Scientist

Deloitte

Raleigh, NC • Hybrid

Other

Posted 12 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities  

Perform analytics using data science techniques; work with the business stakeholders; tell stories from data.

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Qualifications

Required

  • 6+ years of demonstrated experience in an Analytics and Strategy role.
  • Strong business acumen and the ability to think strategically and operationally.
  • Be a self-starter, driven, accountable and a high-energy team player.
  • Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
  • Demonstrated ability to influence without authority.
  • Excellent communication skills-able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
  • Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
  • Knowledge of and experience in leveraging Applied Statistical/ML techniques.
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Hybrid role - On-site Tur/Wed/Thu

Preferred

  • 6+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
  • Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
  • Track record of leading organization-wide strategic initiatives or transformative analytics projects.
  • Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.


Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities  

Perform analytics using data science techniques; work with the business stakeholders; tell stories from data.

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Qualifications

Required

  • 6+ years of demonstrated experience in an Analytics and Strategy role.
  • Strong business acumen and the ability to think strategically and operationally.
  • Be a self-starter, driven, accountable and a high-energy team player.
  • Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
  • Demonstrated ability to influence without authority.
  • Excellent communication skills-able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
  • Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
  • Knowledge of and experience in leveraging Applied Statistical/ML techniques.
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Hybrid role - On-site Tur/Wed/Thu

Preferred

  • 6+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
  • Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
  • Track record of leading organization-wide strategic initiatives or transformative analytics projects.
  • Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.


Education:Bachelor's DegreeEmployment Type:

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